Exam 1 will cover lectures 1-14 (i.e. up to and including Snooping Based Multiprocessor Design). Exam 2 will cover lectures 15-27 (i.e. Prefetching through Parallelism in Database Management Systems).

I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.

Abstract: Characterizing and understanding graph neural networks (GNNs) is essential for identifying performance bottlenecks and facilitating their deployment in parallel and distributed systems.

Explore the Ethereum Virtual Machine (EVM) architecture and Sei's innovative parallel execution approach, enhancing decentralized applications with subsecond finality and massive throughput. The ...

ABSTRACT: The golden age of digital chips seems to be coming to an end. For decades, we have relied on making transistors smaller and increasing clock speeds to improve performance. However, when chip ...

General Motors will start rolling out more powerful Nvidia computers on its vehicles 2028 onwards. The automaker is moving towards a centralized architecture which reduces the number of on-board ...

“DAKH (ДАХ): Vernacular Hardcore”. Ukrainian exhibition at the 19th Venice Architecture Biennale, 2025. Image © Valentyna Rostovikova, PRYZM photography "Dakh ...

Low-power computer chip startup Efficient Computer Co. today announced the launch of its new flagship Electron E1 processor, dramatically reducing the energy requirements of general-purpose computing ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...